Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

And this is where optimization theory fits in, observed Levy. “We can reframe this as finding the summit of a math mountain representing the total number of passengers who remain on their original ...

Optimization without calculus; geometric programming; convex sets and convex functions; review of linear algebra; linear programming and the simplex method; convex programming; iterative ...

Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. Over the course of his career at IBM, ILOG, Inc., and CPLEX Optimization, Inc., he has worked with a ...

Among the topics discussed are basic properties of convex sets (extreme points, facial structure of poytopes), separation theorems, duality and polars, properites of convex functions, mimima and ...

Adaptive distributionally robust optimization explores strategies for decision-making under uncertainty, balancing risk and performance in diverse applications.